This repository hosts the blog of the American Statistical Association’s Record Linkage Interest Group (RLIG).
The blog is open to contributions from anyone with interest in deterministic and probabilistic record linkage, entity resolution, data fusion, and statistical matching. See below for contribution instructions.
RLIG’s blog has 2 posts since 2021-12-20.
The last post was published 53 days ago (Record Linkage at the Duke GPSG Community Pantry).
| Date | Title |
|---|---|
| 2021-12-23 | Record Linkage at the Duke GPSG Community Pantry |
| 2021-12-20 | Welcome! |
The blog is based on Distill for Rmarkdown, an Rmarkdown extension for scientific and technical writing on the web.
There are two ways to contribute to this blog:
We recommend using RStudio as an IDE for its visual rmarkdown editor and suite of compatible editing features. If you do not have RStudio, you will need to separately install Pandoc to render Rmarkdown documents. You will need R and to install the following R packages:
install.packages(c("rmarkdown", "distill"))Follow these steps to create a new post:
cd into it.distill::create_post("My Post Title")_posts directory. This folder contains an Rmarkdown document for you to edit.rmarkdown::render_site()The pull request will be reviewed before your post is published on RLIG’s blog.
Make sure to review the following items before submitting your post.
title: "My Post Title"
description: |
Description of my post.
preview: http://website.com/post-image
author:
- name: Full Name
url: url.com
affiliation: State University
date: 2022-01-01## About the Author(s) {.appendix}
The author works at State University. They are [...].Please note that the RecordLinkageIG.github.io project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.
This readme uses code from https://github.com/shannonpileggi/pipinghotdata_distill.
Updated 2022-02-14 15:29:03